...
首页> 外文期刊>Biomedical signal processing and control >A template subtraction method for reducing electrocardiographic artifacts in EMG signals of low intensity
【24h】

A template subtraction method for reducing electrocardiographic artifacts in EMG signals of low intensity

机译:用于减少低强度EMG信号中的心电图伪影的模板减法

获取原文
获取原文并翻译 | 示例
           

摘要

The electromyogram (EMG) has been used in several studies for different areas. Whenever recorded on trunk muscles and close to heart, the EMG may be contaminated by electrocardiographic signal (ECG), which may hamper information based on EMG measures, by either decreasing the median frequency (MDF) or increasing the root mean square value (RMS). Therefore, ECG removal from this contaminated EMG is an issue, but the signal processing task is challenging due to the spectral overlapping of signals. The Butterworth high-pass filter with a 30 Hz cutoff frequency has been considered a suitable removal technique in the literature. However, the frequency band below 30 Hz is strongly attenuated, leading thus to information loss on the EMG. In order to mitigate this problem, a simple template subtraction method is proposed, in which the template is based on the contaminated signal itself. Real contamination and emulated mixtures based in real signals were used and the MDF, RMS, correlation coefficient and Kulback-Leibler divergence were analyzed as performance measures. The performance of the proposed method was compared to a Butterworth high-pass filter and it is shown that the template subtraction method has preserved better the EMG information. (C) 2018 Elsevier Ltd. All rights reserved.
机译:肌电图(EMG)已用于不同领域的多项研究中。每当记录在躯干肌肉上并靠近心脏时,EMG可能会受到心电图信号(ECG)的污染,这可能会通过降低中位数频率(MDF)或增加均方根值(RMS)来干扰基于EMG测量值的信息。 。因此,从受污染的EMG中去除ECG是一个问题,但是由于信号的频谱重叠,信号处理任务具有挑战性。在文献中,截止频率为30 Hz的巴特沃斯高通滤波器被认为是一种合适的去除技术。但是,低于30 Hz的频带被强烈衰减,从而导致EMG上的信息丢失。为了减轻这个问题,提出了一种简单的模板减法,其中模板基于受污染的信号本身。使用基于真实信号的真实污染和模拟混合物,并分析了MDF,RMS,相关系数和Kulback-Leibler散度作为性能指标。将所提方法的性能与巴特沃斯高通滤波器进行了比较,结果表明模板减法可以更好地保留肌电信息。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号